survidm: Inference and Prediction in an Illness-Death Model
Newly developed methods for the estimation of several probabilities in an illness-death model. The package can be used to obtain nonparametric and semiparametric estimates for: transition probabilities, occupation probabilities, cumulative incidence function and the sojourn time distributions. Additionally, it is possible to fit proportional hazards regression models in each transition of the Illness-Death Model. Several auxiliary functions are also provided which can be used for marginal estimation of the survival functions.
| Version: | 1.3.2 |
| Depends: | R (≥ 3.0.0) |
| Imports: | KernSmooth,np,survival,doParallel, parallel,doRNG,foreach,TPmsm,Rcpp,ggplot2,gridExtra,plotly |
| LinkingTo: | Rcpp |
| Published: | 2021-06-24 |
| DOI: | 10.32614/CRAN.package.survidm |
| Author: | Luis Meira-Machado, Marta Sestelo and Gustavo Soutinho |
| Maintainer: | Marta Sestelo <sestelo at uvigo.es> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | survidm results |
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